What is
Cloudinary?

What is
OpenCV?

OpenCV was designed for computational efficiency and with a strong focus on real-time applications. Written in optimized C/C++, the library can take advantage of multi-core processing. Enabled with OpenCL, it can take advantage of the hardware acceleration of the underlying heterogeneous compute platform.

What is
GraphicsMagick?

GraphicsMagick is the swiss army knife of image processing. Comprised of 267K physical lines (according to David A. Wheeler's SLOCCount) of source code in the base package (or 1,225K including 3rd party libraries) it provides a robust and efficient collection of tools and libraries which support reading, writing, and manipulating an image in over 88 major formats including important formats like DPX, GIF, JPEG, JPEG-2000, PNG, PDF, PNM, and TIFF.

Want advice about which of these to choose?Ask the StackShare community!

Reviews of Cloudinary, OpenCV, and GraphicsMagick

pritamsunny

My cloudinary experience

July 12, 2017 13:16

My website is https://cyberindia.in and I manage 95% of my images in cloudinary and I am happy slowly I will move all my images to cloudinary and become more happy :D . On a serious note Cloudinary Rocks ...

Ease of Use
Documentation
Reliability
Support

rahulroy94

Cloudinary is the best and will be

July 18, 2017 05:09

The art of technologies and delivering power potential with a huge flexibility makes cloudinary stand out in the crowd.

Ease of Use
Documentation
Reliability
Support

How developers use Cloudinary vs OpenCV vs GraphicsMagick

I used both scikit-image and OpenCV for image processing and cell identification on the backend. Trained to identify malaria cells based on image datasets online. When it comes to quick training for image processing, OpenCV and scikit-image are the two best choices in my opinion. The approach I took to cell detection was template-matching and edge detection based. Both are highly tested and very powerful features of the Scikit Image and OpenCV libraries, and also have great Python interfaces.

I use openCV to serve as "motion capture" logic for my home security cameras. Which means that instead of capturing in a dumb way based on motion, it captures video when it recognizes human faces or bodies. This saves a lot of disk, but at the expense of CPU.

Uploaded files are stored in the cloud and immediately made accessible. To transform, optimize and manage images and videos.The Future of Content Delivery and Management.Optimizing Video with Cloudinary and the HTML5 videoPlayer.
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